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    concentrations (PEC values) and for dealing with data from some FOCUS
    pesticide fate modelling software packages.">
<title>Utilities for Pesticide Fate Modelling • pfm</title>
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    pesticide fate modelling software packages.">
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<div class="page-header"><h1 id="pfm">pfm<a class="anchor" aria-label="anchor" href="#pfm"></a>
</h1></div>
<p><a href="https://travis-ci.com/jranke/pfm" class="external-link"><img src="https://travis-ci.com/jranke/pfm.svg?branch=main" alt="Build Status"></a> <a href="https://codecov.io/github/jranke/pfm" class="external-link"><img src="https://codecov.io/github/jranke/pfm/branch/main/graphs/badge.svg" alt="codecov"></a></p>
<p>The R package <strong>pfm</strong> provides some utilities for fate modelling, including dealing with FOCUS pesticide fate modelling tools, (currently only TOXSWA cwa and out files), made available under the GNU public license.</p>
<div class="section level2">
<h2 id="installation">Installation<a class="anchor" aria-label="anchor" href="#installation"></a>
</h2>
<p>The easiest way to install the package is probably to use <a href="https://cran.r-project.org/package=drat" class="external-link">drat</a>:</p>
<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"drat"</span><span class="op">)</span></span>
<span><span class="fu">drat</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/drat/man/addRepo.html" class="external-link">addRepo</a></span><span class="op">(</span><span class="st">"jranke"</span><span class="op">)</span></span>
<span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"pfm"</span><span class="op">)</span></span></code></pre></div>
<p>Alternatively you can install the package using the <code>devtools</code> package. Using <code>quick = TRUE</code> skips docs, multiple-architecture builds, demos, and vignettes.</p>
<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://devtools.r-lib.org/" class="external-link">devtools</a></span><span class="op">)</span></span>
<span><span class="fu"><a href="https://remotes.r-lib.org/reference/install_github.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"jranke/pfm"</span>, quick <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
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<h2 id="use">Use<a class="anchor" aria-label="anchor" href="#use"></a>
</h2>
<p>Please refer to the <a href="http://pkgdown.jrwb.de/pfm/reference/index.html" class="external-link">reference</a>.</p>
</div>
<div class="section level2">
<h2 id="examples">Examples<a class="anchor" aria-label="anchor" href="#examples"></a>
</h2>
<p>One recent nice example of the usage of this package is the visualisation of a time weighted average for a sawtooth curve obtained from several overlays of mkinfit predictions as shown <a href="http://pkgdown.jrwb.de/pfm/reference/plot.one_box.html" class="external-link">here</a>.</p>
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<h2 data-toc-skip>Links</h2>
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<li><a href="https://github.com/jranke/pfm/" class="external-link">Browse source code</a></li>
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<div class="license">
<h2 data-toc-skip>License</h2>
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<li>GPL</li>
</ul>
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<div class="citation">
<h2 data-toc-skip>Citation</h2>
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<li><a href="authors.html#citation">Citing pfm</a></li>
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<div class="developers">
<h2 data-toc-skip>Developers</h2>
<ul class="list-unstyled">
<li>Johannes Ranke <br><small class="roles"> Author, maintainer </small> <a href="https://orcid.org/0000-0003-4371-6538" target="orcid.widget" aria-label="ORCID" class="external-link"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a> </li>
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